{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["time", "victim", "tool", "damage amount", "attacker", "purpose", "trusted entity", "place", "attack pattern"]}, {"event_type": "data breach", "trigger": true, "arguments": ["place", "tool", "number of data", "time", "damage amount", "compromised data"]}, {"event_type": "ransom", "trigger": true, "arguments": ["damage amount", "price", "place", "tool", "attacker", "attack pattern", "payment method", "victim"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "time", "releaser", "issues addressed", "patch", "patch number", "vulnerable system version"]}], "input": "Full marks to BMW for promptly responding to the research but the press release issued in its wake reads like PR spin ."}
{"phishing": [], "data breach": [], "ransom": [], "patch vulnerability": [{"trigger": "issued", "arguments": {"common vulnerabilities and exposures": "NAN", "time": "NAN", "releaser": "BMW", "issues addressed": "NAN", "patch": "the press release", "patch number": "NAN", "vulnerable system version": "NAN"}}]}